The projects listed on this page are representative of available PhD opportunities for entry in 2027 and are subject to change. As more projects become available these will be added below. For lists of projects currently being worked on please see our project pages for 2024, 2025 and 2026.Projects are grouped by SPADS CDT research themes.Some projects are listed under more than one theme. Due to the interdisciplinary nature of the programme, some projects will cover more than one research theme. For information on how projects are allocated, please see How to Apply, What happens after I submit my application? Autonomous Sensing Platforms Soft Everting Robots for Exploration, Mapping, and Manipulation in Extreme, Confined Environments Learning Multimodal Virtual Sensors for Adaptive Robotic Manipulation Stochastic Contact-Implicit Model Predictive Control and Behavioural Cloning for Versatile Surveillance with Legged Robots Physical World Models LightFusion: Integrated underwater Imaging, localisation and information exchange | SPADS CDT | School of Engineering Multi-agent Systems and Data Intelligence Neuro-Algebraic Multi-Agent Digital Twin for Safety and Cybersecurity Assurance of 6G Network Subsystems and Elements Novel Computing and Beyond CMOS Hardware DNA Origami Derived Passive NIR-MWIR Photonics Memory-Task Alignment in Reservoir Computing Reconfigurable Topological Magnetic Reservoirs for Intelligent, Low-Power Consumption Edge Sensing | SPADS CDT | School of Engineering Sensor Signal Processing Robust Few-Shot Learning for Underwater Acoustic Signal Classification (QinetiQ) Adaptive Low-Dimensional Monte Carlo Methods for High-Dimensional Multi-Target Tracking An integrated decision-making approach to detection and evaluation of nefarious microbial threats Biodegradable gas sensors Fast intelligent control with application to quantum sensing Statistical learning for uncertainty-aware active sonar methodology 3D Target Characterisation with the Physics Informed SAR Machine Learning Robust, multi-mode coherent track-before-detect for radar detection in complex sensing environments Explainable machine learning via physical equations: understanding what your sensor sees. This article was published on 2025-10-31
